Machine Learning Ops - Smart Home and Automation - Design Specialist II
Machine Learning Ops - Smart Home and Automation - Design Specialist II
Posted on :
08-11-2022
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Job Description
As a Design Specialist II on the Technology Strategy Smart home Security and Automation ML Ops team, will be responsible for creating AI/ML pipeline on cloud infrastructure, and deploying AI and Machine Learning solutions in the cloud. You will work with external partners in building, validating, and monitoring configurable heuristic engines and ML engines; building descriptive, predictive, and prescriptive machine learning models, including various abnormal detection and routine recommandation models.
Requirements
- Create end-to-end (Data/ML/Dev) Ops pipelines grounded on comprehensive understanding of cloud, AI solution lifecycle, and business problems to make sure ML solutions are delivered predictably and efficiently
- Assist the development of ML solution by choosing and utilizing the suitable SDLC methodologies, and collecting business requirements that pertinent to ML
- Perform best practices continuous integration/continuous delivery as well as version control
- Standardize and monitor ML models using leading data science tools and technologies
- Support in administering and working within our clients code of ethics to tackle matters such as privacy, data ethics, and discrimination
- Combine machine learning systems development and deployment to systematize and simplify the continuous integration and delivery of high-performing ML algorithms in production
- Utilize machine learning and statistical techniques to generate scalable ML solutions
Benefits
- Flexible & customizable medical, vision and dental benefits
- $5000 for mental health support annually and access to mental health employee assistance programs
- Free premium subscription to mental health app, Calm
- $750 Well-being allowance
- Maternity and parental leave top-up
- Fertility treatment coverage
- Gender affirmation coverage
- Regular bonus or sales incentive opportunities in addition to competitive base salary
- Equity incentive opportunities
- Generous employee pension and share plan with matching programs
- Complimentary mobile devices with unlimited plans for select positions
- Exclusive opportunities to invest in Canadian start-ups that TELUS is partnered with
- Optional student loan repayment through flexible benefits plan
- 24/7 financial counselling
- Donation matching to eligible Canadian registered charities, to an individual maximum of $2,500 per year and a $1 donation reward for every volunteer hour you track
- Flexibility to allocate benefit credits directly to our group RRSP or TFSA
- Flexibility to work in-office, virtually or a combination of both
- $250 top-up available to mobile and virtual team members for home office expenses
- Digital collaboration experience through Google s next-generation technology tools
- Paid time off, including both vacation and additional personal well-being days available through your benefits plan
- Award-winning career development & coaching culture
- Access to unlimited LinkedIn Learning, including over 16,000 expertly curated video-based courses
- Leadership training, role-specific learning and upskilling and reskilling
- Team member resource groups that offer peer support, mentorship and leadership opportunities
- Formal recognition and rewards programs
- Opportunity for career mobility across the company locally and globally
Health and well-being:
Financial compensation:
Flexibility and time off:
Growth and development:
Create end-to-end (Data/ML/Dev) Ops pipelines grounded on comprehensive understanding of cloud, AI solution lifecycle, and business problems to make sure ML solutions are delivered predictably and efficiently Assist the development of ML solution by choosing and utilizing the suitable SDLC methodologies, and collecting business requirements that pertinent to ML Perform best practices continuous integration/continuous delivery as well as version control Standardize and monitor ML models using leading data science tools and technologies Support in administering and working within our client's code of ethics to tackle matters such as privacy, data ethics, and discrimination Combine machine learning systems development and deployment to systematize and simplify the continuous integration and delivery of high-performing ML algorithms in production Utilize machine learning and statistical techniques to generate scalable ML solutions
Employment Type
Full Time
Key Skills
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